Practical overview
When it fits
Use Vemcache when an application needs a self-hosted, in-memory vector service with a TCP command interface for storage and similarity or nearest-neighbor queries.
Who it is for
- Developers building applications that need to store vectors by key and retrieve them.
- Teams prototyping nearest-neighbor or cosine-similarity lookup behind a self-hosted service.
- Developers who want to exercise vector operations through a TCP client.
Documented uses
- Insert vectors with generated or specified keys and retrieve or remove them by key.
- Compare stored vectors using cosine similarity.
- Find k nearest neighbors for a stored query vector.
- Apply element-wise addition or subtraction and scalar multiplication to stored vectors.
- Dump database contents to a JSON file.
Requirements & limits
The project provides Docker-based and local Rust/Cargo setup instructions. The repository lists an MIT license.
- The documented client interface is TCP, with telnet and netcat given as examples.
- The database is described as in-memory; the README documents a JSON dump command but does not describe automatic persistence.
- Docker users can publish port 7070; local builds require Rust and Cargo.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Start Vemcache in Docker
Run the Vemcache server in a Docker container with its documented port published.
Before you start
- Docker installed on the host.
Steps
Pull the Vemcache image with the command below.
docker pull faizchishtie/vemcacheRun it with the command below.
docker run --rm -it -p 7070:7070 faizchishtie/vemcache:latest
Expected outcome
The container runs Vemcache with port 7070 published on the host.
Guide limitations
- This recipe covers starting the server; it does not configure an application client or describe a persistence workflow.
Build and run Vemcache locally
Build the repository and start the Vemcache server using its documented Makefile targets.
Before you start
- Rust and Cargo installed.
- A system with Git and Make available.
Steps
Clone
https://github.com/faizchishtie/vemcache.gitand change into thevemcachedirectory.Run the command below.
make buildRun the command below.
make run
Expected outcome
The README's local build and run steps start the Vemcache server.
Guide limitations
- The guide describes setup and startup only; it does not establish compatibility across systems or provide operational deployment guidance.
Compare options for Vector search
These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.
| Project | Documented purpose | Platform | Access and requirements |
|---|---|---|---|
| Vemcache | Insert vectors with generated or specified keys and retrieve or remove them by key. | Docker, Linux, Self-hosted, Server | The project provides Docker-based and local Rust/Cargo setup instructions. The repository lists an MIT license. |
| Mettis | Index text documents through an HTTP endpoint. | Linux, Self-hosted, Server |
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 17 October 2026
- Original website title
- FaizChishtie/vemcache · Official homepage title · retained in its source language